Finding a biomarker predicting the Alzheimer’s disease (AD) progression from a healthy stage to mild dementia is an essential step toward early medical intervention. In recent years, dynamic functional network connectivity (dFNC) from resting state-fMRI, which estimates brain states during the scan, uncovered excellent knowledge about AD progression's underlying mechanism. This study explored whether the AD brain produces similar and stable dFNC states across different scanning sessions and introduced dFNC state (or brain) instability as a potential biomarker of AD progression. Our finding suggests a need for multiple sessions scanning in analyzing rs-fMRI data in this group of patients.
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